Using a specially developed simulation model, researchers at the University of Cologne have traced and analyzed the dynamics ...

The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

For the first time, scientists have resolved extremely intense tropical cyclones and their effect on the ocean carbon cycle ...

A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...

Carbon capture and storage (CCS) project sanctioning requires reasonable estimates of CO 2 storage volume and plume migration in the reservoir. Numerical simulation based on geological data provides ...

Before a potential customer buys an autonomous mobile robot solution, Locus Robotics often uses different types of simulation to determine the type of robots needed and the number needed to optimize ...

Industrial simulation and emulation are powerful but still underemployed techniques for designing, developing, and testing better automation solutions and machines. When used as a central part of a ...

Embedded Flash memory technology is limited by scaling difficulties in Flash below 28nm CMOS processes. The discovery, and later the industrial manufacturing of Spin-Transfer-Torque (STT) MRAMs, ...

Organizations are looking to artificial intelligence to bolster how they do simulations, leading to faster innovation and ultimately better products. In association withSiemens Digital Industries ...